There were 6 overall firearm-involved crimes (including simulated and imitation firearms).
There were 3 CPW crimes (excluding knives/brass knuckle crimes). These CPWs are not counted in the overall firearm-related statistics.
There were 1 total shooting victims in 1 incidents.
1 of these victims are victims of homicide.
Victim/Offender relationship data has not yet been made available by IT.The Rochester Police Department is shifting towards the use of “process control” and away from year to year comparison statistics. The goal is to be able to compare current crime counts against a benchline of “normal”, rather than the benchline of the previous year (which may have been very high or very low compared to past years).
The Office of Business Intelligence has calculated “action limits” which you can see represented as dashed lines on the projection plots. These limits (both upper and lower) are calculated by using weighted 3 year averages as centering values, and then calculating the standard deviations to find how much variation from that average to expect.
If current counts for a section and crimetype break the upper action limit, it’s a signal to investigate the causes of that rise in activity. If current counts break the lower action limit, it’s a signal that there may be a beneficial intervention that can be studied and copied in other sections.
Variation within the action limits is assumed to be normal “statistical noise” not requiring attention or resources above the section level.
Treemaps display information as rectangles nested within each other. The data is structured hierarchically, meaning that a hover over a particular crime type will provide the total for that crime for the current year, but a click on a crime type will allow to drill down into the breakdown of the case statuses for that crime. To return to crime types simply click on the heading of the treemap.
The proportion of the values shown to the total are represented by the size of the corresponding rectangle.
Closure and count information for homicides will be inaccurate due to LERMS data issues. Elsewhere in the dashboard, we use MCU data for homicides instead of LERMS data, but that is not possible for the treemap.
The projection chart shows the cumulative weekly values experienced to date for the current year. Points in black show values that follow the expected accumulation path. Points in green are lower than expected and points in red are higher than expected. The blue shaded region refers to the expected path to result in a value between the year-end action limits.
The black faded points on the chart at week 53 show the results of 1000 simulations estimating what our total counts will be at year-end. The large blue point shows the average of those simulations. The black “X” shows the weighted average year-end totals for the past three years. The percentage of the simulations above the upper limit helps to gauge chances of year-end expectations regarding that particular crime if the remainder of the year continues as those have historically.
An aoristic heatmap shows the proportion of activity that occurs in a given hour, on a given day of the week. Lighter shades correspond with less activity, while darker red shades correspond with more activity. We have placed vertical lines that divide between first, second and third platoon hours, and as you can see from the bottom axis, the chart begins at 2300 hrs.
The rectangle labeled “Hr23” corresponds with the amount of activity occuring between 2300 and 2359 hrs on that day of the week. For crimes that occur over a longer period of time, or for crimes that occurred at an unknown time within a time range, the weight of that crime is divided evenly between the hours that it could have occurred. For instance, the weight for a burglary that occurred at some point between 0800 and 1200 will be spread out evenly between Hr8, Hr9, Hr10 and Hr11.
Most tabs have two different maps, each in their own tab. The first tab will show a Year-To-Date map, and the second tab will show a map of the last 28 days. Hotspots will also be shown if there are a large enough number of crimes for hotspots to make sense.
The Larcenies page has two additional maps for car break-ins. These maps are also on their own tabs, and display Year-To-Date car break-ins and the last 28 days of car break-ins.
If no map appears, likely there is no data to present (i.e. no events to map).
The column on the right of each page will show additional data tables, including the breakdown of incidents by beat, by weapon type, larceny type, location type, etc…